SageMakerStudioDataEngineeringExtensions
SageMaker Unified Studio Data Engineering Extensions
This package contains several extensions that enhance the experiences for SageMakerStudioDataEngineeringSessions.
This pacakge is depend on SageMaker Unified Studio environment.
List of extensions
- SageMaker Connection Magic JupyterLab Extension
- SageMaker Data Explorer
- SageMaker Jupyter Server Extension
- SageMaker Spark Monitor
- SageMaker Unified Studio Theme
- SageMaker UI Doc Manger JupyterLag Plugin
How to install these extensions
Conda
For Conda users, if you install this package via Conda, all of these extensions are installed by default.
PyPi
For PyPi users, if you install this package via pip install, all of these extensions are installed by default.
Extension Details
SageMaker Connection Magic JupyterLab Extension
This package contains a JupyterLab extension which provides a user-friendly experience for switching between different computes. For example, you can use this extension to easily switch from local python compute to different remote computes like EMR Cluster/Glue/EMR-Serverless.
SageMaker Data Explorer
This package contains a JupyterLab extension which provides a side tab inside JupyterLab. That tab supports browsering data from different data source like Redshift/S3/LakeHouse.
SageMaker Jupyter Server Extension
This package contains some Jupyter Server api to support other extensions in SageMaker Unified Studio.
SageMaker Spark Monitor
This package contains a JupyterLab extension which provides a widget showing the progress of a running spark application in remote compute.
Setup
To load this extension, make sure you have iPython config file generated. If not, you could run ipython profile create, then a file with path ~/.ipython/profile_default/ipython_config.py should be generated
Then you will need to add the following line in the end of that config file
c.InteractiveShellApp.extensions.extend(['sagemaker_sparkmonitor.kernelextension'])
once that config is added, restart the JupyterLab kernel to make the config change apply
SageMaker Unified Studio Theme
This package contains a custom Theme for SageMaker Unified Studio
SageMaker UI Doc Manger JupyterLag Plugin
This package is a JupyterLab extension which supports a shortcut from SageMaker Unified Studio portal to open a notebook in JupyterLab.
1 maintainer
Metadata
1 maintainer
Release files for sagemaker-studio-dataengineering-extensions 1.3.15
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sagemaker_studio_dataengineering_extensions-1.3.15.tar.gz | 3.6 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sagemaker_studio_dataengineering_extensions-1.3.15-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.1 MB
Release files / sagemaker_studio_dataengineering_extensions-1.3.15.tar.gz
| Download URL | sagemaker_studio_dataengineering_extensions-1.3.15.tar.gz |
|---|---|
| Size | 3.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.12
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Release files / sagemaker_studio_dataengineering_extensions-1.3.15-py3-none-any.whl
| Download URL | sagemaker_studio_dataengineering_extensions-1.3.15-py3-none-any.whl |
|---|---|
| Size | 3.5 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.12
|
